Michael Krainin

Computer Vision and Pattern Recognition · 2010–2021

A researcher in the Science corpus: 5 papers; trusts 122 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Krainin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. David Nistér
  2. Changchang Wu
  3. Sebastian Thrun
  4. David G. Lowe
  5. Peter Henry
  6. Szymon Rusinkiewicz
  7. Martin Habbecke
  8. Yasutaka Furukawa
  9. Ashutosh Saxena
  10. M. Kazhdan

Who trusts Michael Krainin overall

  1. Peter Henry
  2. Kevin Lai
  3. Xiaofeng Ren
  4. Liefeng Bo
  5. Dieter Fox
  6. Christian Kerl
  7. Jürgen Sturm
  8. Khalid Yousif
  9. Alex Teichman
  10. Markus Achtelik

Papers from Michael Krainin's perspective

Ordered by how strongly the researchers Michael Krainin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers